Evidence map›Paper›PMID 29700634›Full record

ArticleMedical oncology (Northwood, London, England)2018

Frequency of pathogenic germline mutations in cancer susceptibility genes in breast cancer patients.

Raman Preet Kaur, Gowhar Shafi, Raja Paramjeet Singh Benipal, Anjana Munshi

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Article in Medical oncology (Northwood, London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Raman Preet KaurDepartment of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, India.
Gowhar ShafiDepartment of Clinical Genomics and Bioinformatics, Positive Bioscience, Mumbai, India.
Raja Paramjeet Singh BenipalGuru Gobind Singh Medical College and Hospital, Faridkot, 151203, India.
Anjana MunshiDepartment of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, India. anjanadurani@yahoo.co.in.ORCID http://orcid.org/0000-0002-7657-8592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we evaluated the incidence of pathogenic germline mutations in 30 breast cancer susceptibility genes in breast cancer patients. Our aim was to understand the involvement of the inherited mutations in these genes in a breast cancer cohort. Two hundred ninety-six female breast cancer patients including 4.5% of familial breast cancer cases were included in the study. 200 ng of genomic DNA was used to evaluate the pathogenic mutations, detected using Global Screening Array (GSA) microchip (Illumina Inc.) according to the manufacturer's instructions. The pathogenic frameshift and nonsense mutations were observed in BRCA2 (10.9%), MLH1 (58.6%), MTHFR (50%), MSH2 (14.2%), and CYTB (52%) genes. Familial breast cancer patients (4.5%) had variations in BRCA2, MLH1, MSH2, and CYTB genes. 28% of patients with metastasis, recurrence, and death harbored mono/biallelic alterations in MSH2, MLH1, and BRCA2 genes. The results of this study can guide to develop a panel to test the breast cancer patients for pathogenic mutations, from Malwa region of Punjab. The screening of MSH2, MLH1, and BRCA2 should be carried in individuals with or without family history of breast cancer as these genes have been reported to increase the cancer risk by tenfold.

Indexed as

Germ-Line MutationAdultBreast NeoplasmsCodon, NonsenseCohort StudiesFemaleFrameshift MutationGenetic Predisposition to DiseaseHumansMiddle AgedYoung AdultCodon, NonsenseAlterationsBreast cancerFrameshiftMutationsNonsense

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.